tag:joss.theoj.org,2005:/papers/tagged/Monte%20Carlo%20methodsJournal of Open Source Software2023-06-24T19:41:17ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/41452023-06-24T19:41:17Z2023-06-25T00:01:04ZFast Resampling and Monte Carlo Methods in Pythonaccepted1.11.0.dev0+1225.ca8d4812023-01-04 00:32:58 UTC862023-06-24 19:41:17 UTC820235092MattHaberlandCalifornia Polytechnic State University, San Luis Obispo, USA0000-0003-4806-360110.21105/joss.05092https://doi.org/10.5281/zenodo.8031631Starlark, Python, Meson, Chttps://joss.theoj.org/papers/10.21105/joss.05092.pdfSciPy, statistics, bootstrap, confidence intervals, permutation tests, monte carlo methods, hypothesis testingtag:joss.theoj.org,2005:Paper/42202023-04-23T06:46:52Z2023-04-24T00:02:35ZQuasi-Monte Carlo Methods in Pythonaccepted1.102023-02-17 17:53:47 UTC842023-04-23 06:46:52 UTC820235309PamphileT.RoyQuansight0000-0001-9816-1416ArtB.OwenStanford University0000-0001-5860-3945MaximilianBalandatMeta0000-0002-8214-8935MattHaberlandCalifornia Polytechnic State University, San Luis Obispo, USA0000-0003-4806-360110.21105/joss.05309https://doi.org/10.5281/zenodo.7849706Starlark, Python, Meson, Chttps://joss.theoj.org/papers/10.21105/joss.05309.pdfSciPy, statistics, Quasi-Monte Carlo methodstag:joss.theoj.org,2005:Paper/35202022-09-29T19:24:38Z2022-10-11T07:33:56Zsmol: A Python package for cluster expansions and beyondacceptedv0.0.12022-04-27 17:23:30 UTC772022-09-29 19:24:38 UTC720224504LuisBarroso-LuqueDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-6453-9545JuliaH.YangDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-5713-2288FengyuXieDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-1169-1690TinaChenDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0003-0254-8339RonaldL.KamDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USAZinabJadidiDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USAPeichenZhongDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0003-1921-1628GerbrandCederDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0001-9275-360510.21105/joss.04504https://doi.org/10.5281/zenodo.7115050Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.04504.pdfcomputational materials science, lattice models, cluster expansion method, Monte Carlotag:joss.theoj.org,2005:Paper/20732021-01-22T08:36:17Z2021-02-15T11:29:51Zkalepy: a Python package for kernel density estimation, sampling and plottingacceptedv1.02020-10-13 04:15:46 UTC572021-01-22 08:36:17 UTC620212784LukeZoltanKelleyCenter for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Northwestern University, USA, Physics & Astronomy, Northwestern University, USA0000-0002-6625-645010.21105/joss.02784https://doi.org/10.5281/zenodo.4456130Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02784.pdfastronomy, statistics, monte carlo methodstag:joss.theoj.org,2005:Paper/12772020-02-01T07:09:03Z2021-02-15T11:31:32ZGeometric nested sampling: sampling from distributions defined on non-trivial geometriesacceptedv1.012019-10-04 19:27:27 UTC462020-02-01 07:09:03 UTC520201809KamranJavidKavli Institute for Cosmology Cambridge, Madingley Road, Cambridge, CB3 0HA, United Kingdom, Astrophysics Group, Cavendish Laboratory, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom0000-0002-2089-396410.21105/joss.01809https://doi.org/10.5281/zenodo.3569956Pythonhttps://joss.theoj.org/papers/10.21105/joss.01809.pdfNested sampling, Monte Carlo methods, Bayesian inference, Astrophysics